Research Article
QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network
Table 1
The comparison of the proposed approach with previous ones in terms of mean square error, peak signal-to-noise ratio, and accuracy.
| The peak signal-to-noise ratio (decibels) | Mean square error | Method | Reference |
| 72.1 | 0.23 | KNN | Mittal et al. [25] | 88.4 | 0.045 | Genetic algorithm | Mittal et al. [25] | 74.2 | 0.021 | SVM | Mittal et al. [25] | 73.5 | 0.256 | SOM | Mittal et al. [25] | 94.2 | 0.012 | CNN | Mittal et al. [25] | 96.64 | 0.001 | GCNN | Mittal et al. [25] | 77.7 | 0.001 | BAT-IT2FCM | Alagarsamy et al. [31] | 97.79 | 0.006 | QIAS-DSNN | Proposed approach |
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